AI Data Privacy (Supply Chain)
AI data privacy in supply chain refers to the policies, architectures, and technical controls that ensure customer operational data (shipment details, carrier relationships, facility performance, order data) is not exposed to other customers, used for unauthorized model training, or accessible beyond defined permissions.
Why It Matters
Enterprise supply chain data is competitively sensitive: carrier rates, facility locations, customer relationships, and operational performance are proprietary. Any AI platform that aggregates cross-company data must demonstrate that individual customer data is isolated while the aggregated intelligence layer remains accessible.
The FourKites Perspective
FourKites operates a federated data architecture: each customer's data resides in an isolated tenant. The network intelligence layer (the Graph) aggregates patterns anonymously. No customer can see another customer's shipments, carrier relationships, or facility performance. Cross-company benchmarks are derived from aggregated, anonymized data. Customer data is never used to train models visible to other customers. SOC 2 Type II certified. ISO 27001 certified. GDPR compliant.